Machine Learning Engineer

Machine Learning Engineer — AI Data Trainer
About The Role
What if your technical expertise could directly shape how the world's most advanced AI systems reason, plan, and solve problems? We're looking for Machine Learning Engineers to help train cutting-edge AI models by demonstrating how expert minds think through complex technical challenges — step by step.
This isn't prompt engineering or basic annotation. You'll be creating the gold-standard reasoning traces that teach AI models how to strategize, use tools effectively, and reach reliable conclusions in real-world environments. Your work will have a direct, measurable impact on the next generation of AI.
This is a fully remote, flexible contract role designed for senior technical professionals who can commit anywhere from 10 to 40 hours per week.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Construct precise, structured reasoning logs that walk through sophisticated technical problems from start to finish
Document sequential decision-making and strategic planning workflows that reflect genuine expert thinking
Demonstrate proficient tool selection and use across complex, multi-step technical scenarios
Generate high-quality training datasets that show AI models what reliable, rigorous problem-solving looks like
Review and critically evaluate AI-generated reasoning steps — identifying gaps, errors, and opportunities for improvement
Work independently and asynchronously on task-based assignments at your own pace
Who You Are
Experienced professional with a strong background in Machine Learning, Software Engineering, or a related technical discipline
Exceptional at breaking down complex logical processes and articulating them clearly in writing
A structured, methodical thinker who naturally documents their reasoning — not just their conclusions
Sharp critical eye — you can audit AI-generated reasoning and spot where it goes wrong
Self-directed and reliable when working independently without close supervision
Holds a Master's Degree or PhD in a relevant technical field
Nice to Have
Prior experience with data annotation, data quality evaluation, or AI/ML evaluation pipelines
Familiarity with LLM behavior, RLHF, or AI alignment concepts
Background in technical writing, research documentation, or systems design
Experience working with AI tools, APIs, or coding assistants in a professional context
Why Join Us
Work directly alongside leading AI research labs on projects shaping the frontier of AI
Fully remote and flexible — structure your work around your life, not the other way around
Freelance autonomy with the depth and substance of high-impact technical work
Gain rare, behind-the-scenes exposure to how state-of-the-art LLMs are trained and evaluated
Contribute to AI systems that will influence how technology reasons and solves problems at scale
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes